Introduction to building machine learning models in R with mikropml (CC124)
5,123
Publicado 2021-07-07
In this episode, Pat will use functions from the #mikropml R package and data handling functions from #dplyr in #RStudio. The accompanying blog post can be found at www.riffomonas.org/code_club/2021-07-07-mikropml-i….
If you're interested in taking an upcoming 3 day R workshop, email me at [email protected]!
R: r-project.org/
RStudio: rstudio.com/
Raw data: github.com/riffomonas/raw_data/releases/latest
Workshops: www.mothur.org/wiki/workshops
You can also find complete tutorials for learning R with the tidyverse using...
Microbial ecology data: www.riffomonas.org/minimalR/
General data: www.riffomonas.org/generalR/
0:00 Why machine learning?
5:59 Framework used by mikropml
12:55 Setting up data for use in mikropml
19:04 Running mikropml with defaults
28:35 Altering training framework
28:00 Recap
Todos los comentarios (17)
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What questions do you have about using machine learning methods?
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as a Turkish, I loved the package' name :d
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very informative! very well done lesson. Thank you very much.
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learning from your paper, hope the following video come soon.
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Looking very forward to trying out mikropml! Perhaps this topic is covered in a future video I haven't seen yet, but it would be great if you could discuss dealing with highly imbalanced datasets (i.e. 450:50 control to case structure) when using these ML methods, or better yet show an example of how you typically deal with those types of datasets.
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Loving the videos, the energy and the help. I have tried to run mirkropml but i have a doubt. When looking at the number of samples in the results, it shows 41 samples with 28 predictors.... It does not make much sense as i had initially 203 samples. Is 41 referring to the samples used to test the model and not the training set? Thank you!!
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Never thought I would watch Seth Rogen teaching ML in R 😅
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These videos are great. Thank you, I just had one question. What are the implications of getting a higher AUC and accuracy on the test data than on the training data?
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Hello, it is possible to use this package and do ML with 3 levels (values in your "srn")? Example, do we can have healthy, symptomatic, asymptomatic? Thank you very much
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Hi, thank you for your introduction to mikropml. I am planning to implement the pipeline in my study. In your opinion, what is the minimum sample number to input into mikropml? Is n=20 samples would be enough? Or n should be around 100 samples?. Thank you once again for your time and our advice
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thank you so much for the video, very interesting package. But I have a doubt, is necessary separate a 20% validate (in the 80%) when use a cross validation method? thanks for you help
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Thank you so much for the channel and amazing explanation Please, I want to ask you about "Adaptive neuro fuzzy inference system" which package we can use to implement it in R. Thank you so much
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Sir, I have one doubt when we were using machine learning or deep learning in Microbiome data for predicting healthy or diseased what type of normalization we should perform with otu counts ? should we prefer clr or relative abundance? sir, i have microbiome data and few clinical parameters (vitamin-d level, womac score, age, year of pain) as features or you can say it input variables to predict two output variable as healthy or diseased so what type of normalization i should prefer for meta data? shall we use scale() function for all the features or different normalization for above features? thank you sir!
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Sir, Please suggest any book for ML in R and ML on microbiome using R. I want to learn and understand parameters used in ML model at basic level.
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what is fit_result here?
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What are your social media handles sir? I really love your works.
